An Expert System Based on Using Artificial Neural Network and Region-Based Image Processing to Recognition Substantia Nigra and Atherosclerotic Plaques in B-Images: A Prospective Study

2017 ◽  
pp. 236-245 ◽  
Author(s):  
Jiří Blahuta ◽  
Tomáš Soukup ◽  
Jiri Martinu
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Expert System ◽  
Substantia Nigra ◽  
Prospective Study ◽  
Atherosclerotic Plaques ◽  
Artificial Neural ◽  
A Prospective Study

Electroencephalographic staging of hepatic encephalopathy by an artificial neural network and an expert system

2005 ◽  
Vol 35 (5-6) ◽  
pp. 162-167 ◽  
Author(s):  
A. Pellegrini ◽  
E. Ubiali ◽  
R. Orsato ◽  
S. Schiff ◽  
A. Gatta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hepatic Encephalopathy ◽  
Expert System ◽  
Artificial Neural

scholarly journals Analyses of the method development of decisions in an expert system with the use of information from an artificial neural network

2018 ◽  
Vol 178 ◽  
pp. 07002 ◽  
Author(s):  
Stanisław Duer ◽  
Konrad Zajkowski ◽  
Serghei Scaticailov ◽  
Paweł Wrzesień
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Expert System ◽  
Intelligent Systems ◽  
Method Development ◽  
Diagnostic System ◽  
Intelligence System ◽  
Intelligent Maintenance ◽  
The Neural Network ◽  
Artificial Neural

The present article covers the use of an artificial intelligence system in the organization of the prevention of technical objects. For this purpose, the composition of this system including an intelligent diagnostic system and an intelligent maintenance system was characterized and described. An artificial neural network and an expert system, which work among others on the basis of the information developed by the neural network, perform a special function in these systems. It was mentioned in the article that the mathematical model of the regeneration process of the functional properties (prevention) of an object forms the basis of the organization of the prevention activities of technical devices and objects with the use of intelligent systems. This model demonstrated the possibilities and directions for the use of maintenance intelligent systems.

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